Data science and business informatics

Course Description

Level: Second Level Degree

Degree Class: LM-18 - Computer science

Department: COMPUTER SCIENCE

Admission: Free

CFUs: 120

Duration: 2 years

Website: https://didattica.di.unipi.it/en/master-programme-in-data-science-and-business-informatics/

The Master's Degree Course in Data Science and Business Informatics provides advanced skills in data science and a solid understanding of business processes. It trains professionals to support strategic and operational business decisions, improve business processes and innovate products and services through the effective use of data. The course offers in-depth, multidisciplinary training with three main curricula:
  •  Computer and Data Science (machine learning, data mining, big data analytics, database, algorithms)
  • Understanding of business processes (economics, management, marketing, business intelligence and process modelling)
  • Fundamentals (statistics, applied mathematics).
The training programme includes lectures, workshops, practical projects, and internships in companies, with a focused approach on the application of methodologies in real-life contexts.

The interclass Master’s Degree Course in Data Science and Business Informatics does not have regulated admission. A general curricular requirement for admission is the possession of a three-year degree from the degree classes in Computer Science and Technology (L-31), Information Engineering (L-8), Statistics (L-41), Economics and Business Management (L-18), Economics (L-33), Physical Science and Technology (L-30), Mathematics (L-35) and the corresponding classes under Ministerial Decree 509/1999.

Students with a Bachelor’s Degree from another class having acquired at least 40 CFUs in total in the following fields INF/01, ING-INF/05, MAT/, FIS/, SECS-P/, SECS-S/, ING-IND/35 are also admitted. Proficient knowledge of English at least at level B2 is also required.

In the case of valid degrees obtained abroad, in particular in EU countries, an exception to this general requirement will only be possible with a resolution of the Degree Course Board, based on the candidate’s specific educational background.

The adequacy of personal preparation, particularly in the fundamentals of information science and technology and the English language, is assessed through the evaluation of the educational curriculum, and through an interview conducted by the President of the Course of Study or their delegate.

A general curricular requirement for admission is the possession of a three-year degree from the degree classes in Computer Science and Technology (L-31), Information Engineering (L-8), Statistics (L-41), Economics and Business Management (L-18), Economics (L-33), Physical Science and Technology (L-30), Mathematics (L-35) and the corresponding classes under Ministerial Decree 509/1999.

Students with a Bachelor’s Degree from another class having acquired at least 40 CFUs in total in one or more of the following fields INF/01, ING-INF/05, MAT/, FIS/, SECS-P/, SECS-S/, ING-IND/35 are also admitted. Proficient knowledge of English at least at level B2 is also required.

The adequacy of personal preparation, particularly in the fundamentals of information science and technology and the English language, is assessed through the evaluation of the educational curriculum, and through an interview conducted by the President of the Course of Study or their delegate.

Course Evaluations

Contacts

Presidente del Corso di Laurea
Antonio Frangioni
Email: antonio.frangioni@unipi.it

Referente didattico
Rosaria Mongini
Tel. (+39) 050 2212727
Email: rosaria.mongini@unipi.it
Unità Didattica del Dipartimento di Informatica: https://didattica.di.unipi.it/contatti/
Orario di ricevimento: Ufficio: su appuntamento previo contatto e-mail / telefono (+39) 050 2212727/3110/3162. Sportello: dal martedì al giovedì dalle ore 10.00 alle ore 13.30. Per informazioni scrivere a : datascience@di.unipi.it

Study Plan

For students enrolled in the academic year 2025/2026

Required
Gr2 aziendale e giuridico (9 CFU)
Gr3 - approfondimento specifico (12 CFU)
The course offerings from previous years can be viewed at Course Catalogue.

Career opportunities

Graduates can find employment opportunities in companies of all sectors and sizes, public bodies, and research organisations in roles such as:
  • Data scientist
  • Data analyst
  • Business analyst
  • IT Consultants

Enrolment

To enrol, you must hold:

  • a university degree recognised as suitable under current legislation
  • the curricular requirements specified in the regulations of the degree courses
  • adequate personal preparation, assessed according to the procedures defined in the regulations of the degree course.

Admission requirements

Procedures and deadlines

Pre-registration for the academic year 2026/2027